Continuous predictors of species distributions support categorically stronger inference than ordinal and nominal classes: an example with urban bats

Author:

Caryl F. M.,Hahs A. K.,Lumsden L. F.,Van der Ree R.,Wilson C.,Wintle B. A.

Publisher

Springer Science and Business Media LLC

Subject

Nature and Landscape Conservation,Ecology,Geography, Planning and Development

Reference52 articles.

1. Adams M, Law B, Gibson M (2010) Reliable automation of bat call identification for eastern New South Wales, Australia, using classification trees and AnaScheme software. Acta Chiropterologica 12:231–245

2. Austin MP (2002) Spatial prediction of species distribution: an interface between ecological theory and statistical modelling. Ecol Model 157:101–118

3. Australian Bureau of Statistics (2006) Victoria mesh blocks digital boundaries. Available from http://www.abs.gov.au/ausstats/abs@.nsf/mf/1209.0.55.002 . Accessed Sep 2013

4. Avila-flores R, Fenton MB (2005) Use of spatial features by foraging insectivorous bats in a large urban landscape. J Mammal 86:1193–1204

5. Bartonička T, Zukal J (2003) Flight activity and habitat use of four bat species in a small town revealed by bat detectors. Folia Zool 52:155–166

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